Quasi‐Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor

Abstract

A quasi-sliding mode control (QSMC) to suppress chaos for a permanent magnet synchronous motor (PMSM) with parameters fall into a certain area is proposed in this paper. Especially, based on the new concept of QSMC, continuous control input is obtained to avoid chattering phenomenon. As expected, the system states can be driven to zero or into a predictable and adjustable bound even when uncertainties are present. Numerical simulations demonstrate the validity of the proposed QSMC design method.

Bifurcation, Chaos and its Control in A Fractional Order Power System Model with Uncertainties

“…Chaos control in a power system is achieved by a fuzzy based adaptive sliding mode controller and the effectiveness of such control algorithms are proved with Lyapunov stability methods . A quasi sliding mode chaos control in a permanent magnet synchronous motor is investigated in . Optimized adaptive sliding mode control of chaotic oscillations in a class of modern smart grids is investigated and the fractional order control scheme for such smart grids with FOASMC optimized with genetic algorithms are also discussed in .…”

MFAC based SMC Combine Algorithm for the Stability of PMDC

“…PMDC motors are currently used as adaptable speed drive systems for automotive, aerospace, automation, and industrial applications because of their low maintenance cost and high power density [1]. However, accurate functioning of these systems presents significant challenges that are associated with modeling, control, dynamical analysis, and application aspects.…”

An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor

“…Since the undesired chaotic oscillations can affect the stabilization of a motor drive system negatively, causing the drive system's collapse, it has been more and more critical to control and eliminate the chaos. Until now, despite various chaos control methods developed for PMSMs such as feedback linearization [11], sliding mode control [12], quasisliding mode control [13,14], adaptive backstepping control [15], and time-delay feedback control [16], there are some shortcomings which still exist. Most of the methods require the exact mathematical models to calculate the control laws.…”

“…Moreover, with the improved design, the controller not only meets the control objective but also surely avoids the singularity problem even with the initial phase. In contrast, many previous works dealing with chaos control of the PMSM have the restriction in that controller design relies on the model of PMSM [11][12][13][14][15][16]. In other words, an exact mathematical model of PMSM is necessary to design the control laws.…”